Landscape connectivity among remnant populations of guanaco (Lama guanicoe, Müller, 1776) in an arid region of Chile impacted by global change.
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modified on 2018-02-13, 14:55 Connectivity between populations plays a key role in the long-term
persistence of species in fragmented habitats. This is of particular
concern for biodiversity preservation in drylands, since water limited
landscapes are typically characterized by little suitable habitat cover,
high habitat fragmentation, harsh matrices, and are being rapidly
degraded at a global scale. In this study, we modelled landscape
connectivity between 11 guanaco Lama guanicoe populations in
Chile's arid Norte Chico, a region that supports the last remnant
coastal populations of this emblematic herbivore indigenous to South
America. We produced a habitat suitability model to derive a regional
surface resistance map, and used circuit theory to map functional
connectivity, investigate the relative isolation between populations,
and identify those that contribute most to the patch connectivity
network. Predicted suitable habitat for L. guanicoe represented about 25% of the study region (i.e. 29,173 km2)
and was heterogeneously distributed along a continuous stretch along
the Andes, and discontinuous patches along the coast. As a result, we
found that high connectivity current flows in the mid and high Andes
formed a wide, continuous connectivity corridor, enabling connectivity
between all high Andean populations. Coastal populations, in contrast,
were more isolated. These groups demonstrate no inter-population
connectivity between themselves, only with higher altitude populations,
and for two of them, animal movement was linked to the effectiveness of
wildlife crossings along the Pan-American highway. Our results indicate
that functional connectivity is an issue of concern for L. guanicoe
in Chile’s Norte Chico, implying that future conservation and
management plans should emphasize strategies aimed at conserving
functional connectivity between coastal and Andean populations, as well
as the protection of habitat patches likely to act as stepping stones
within the connectivity network.
The raw material it is composed of three folders:
1. Maxent_products folder contains the main results and analysis of Maxent model results plus ocurrences data used for modelling.
2. ResistanceSurf folder: this folder show the final landscape resistance used to build the connectivity model by using Circuitscape program.
3. Circuitscape matrix folder: contains the resistance matrix generated by circuitscape as from logistic output of maxent model.
This study has been sumitted to PeerJ journal.
The raw material it is composed of three folders:
1. Maxent_products folder contains the main results and analysis of Maxent model results plus ocurrences data used for modelling.
2. ResistanceSurf folder: this folder show the final landscape resistance used to build the connectivity model by using Circuitscape program.
3. Circuitscape matrix folder: contains the resistance matrix generated by circuitscape as from logistic output of maxent model.
This study has been sumitted to PeerJ journal.